Commenced in January 2007
Paper Count: 30184
A Fast Object Detection Method with Rotation Invariant Features
Abstract:Based on the combined shape feature and texture feature, a fast object detection method with rotation invariant features is proposed in this paper. A quick template matching scheme based online learning designed for online applications is also introduced in this paper. The experimental results have shown that the proposed approach has the features of lower computation complexity and higher detection rate, while keeping almost the same performance compared to the HOG-based method, and can be more suitable for run time applications.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082049Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2142
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